Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data

This study presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an unmanned aerial vehicle (UAV) system, SRTM DEM and fie...

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Main Authors: Yanping Wang, Pinliang Dong, Yueqin Zhu, Jun Shen, Shunbao Liao
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Online Access:http://dx.doi.org/10.1080/19475705.2020.1870168
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spelling doaj-0803bad880924544bb36e1e32dac5caa2021-01-26T12:13:37ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132021-01-0112126127810.1080/19475705.2020.18701681870168Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) dataYanping Wang0Pinliang Dong1Yueqin Zhu2Jun Shen3Shunbao Liao4Department of Ecology and Environment, Institute of Disaster PreventionDepartment of Geography and the Environment, University of North TexasDevelopment and Research Center, China Geological SurveyDepartment of Ecology and Environment, Institute of Disaster PreventionDepartment of Ecology and Environment, Institute of Disaster PreventionThis study presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an unmanned aerial vehicle (UAV) system, SRTM DEM and field investigation. Interpretations of the SPOT-5 image show that the pits always distribute between fault scarp segments or shallow grooves. The geomorphic features near the fault show echelon arrangements caused by dextral strike-slip activities of the fault. Based on this, the characteristics of stress field in this area have been clearly inferred. At centimeter-level accuracy, UAV-derived DEM profiles can clearly show micro tectonic landforms such as fault scarps, shallow grooves, steep slopes, and pits. Combined with previous research and field measurements, the evolution rates in length and height of the fault scarps are analysed. Furthermore, the deflection analysis of the drainage system also shows the characteristics of the continuous strike slip activity of the Xiadian fault. The study can provide valuable insight into geomorphic analysis of buried and semi-buried active faults in plain areas with increasingly frequent human activities.http://dx.doi.org/10.1080/19475705.2020.1870168buried faultsgeomorphic featuresspot-5unmanned aerial vehicle (uav)digital elevation model (dem)
collection DOAJ
language English
format Article
sources DOAJ
author Yanping Wang
Pinliang Dong
Yueqin Zhu
Jun Shen
Shunbao Liao
spellingShingle Yanping Wang
Pinliang Dong
Yueqin Zhu
Jun Shen
Shunbao Liao
Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data
Geomatics, Natural Hazards & Risk
buried faults
geomorphic features
spot-5
unmanned aerial vehicle (uav)
digital elevation model (dem)
author_facet Yanping Wang
Pinliang Dong
Yueqin Zhu
Jun Shen
Shunbao Liao
author_sort Yanping Wang
title Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data
title_short Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data
title_full Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data
title_fullStr Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data
title_full_unstemmed Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data
title_sort geomorphic analysis of xiadian buried fault zone in eastern beijing plain based on spot image and unmanned aerial vehicle (uav) data
publisher Taylor & Francis Group
series Geomatics, Natural Hazards & Risk
issn 1947-5705
1947-5713
publishDate 2021-01-01
description This study presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an unmanned aerial vehicle (UAV) system, SRTM DEM and field investigation. Interpretations of the SPOT-5 image show that the pits always distribute between fault scarp segments or shallow grooves. The geomorphic features near the fault show echelon arrangements caused by dextral strike-slip activities of the fault. Based on this, the characteristics of stress field in this area have been clearly inferred. At centimeter-level accuracy, UAV-derived DEM profiles can clearly show micro tectonic landforms such as fault scarps, shallow grooves, steep slopes, and pits. Combined with previous research and field measurements, the evolution rates in length and height of the fault scarps are analysed. Furthermore, the deflection analysis of the drainage system also shows the characteristics of the continuous strike slip activity of the Xiadian fault. The study can provide valuable insight into geomorphic analysis of buried and semi-buried active faults in plain areas with increasingly frequent human activities.
topic buried faults
geomorphic features
spot-5
unmanned aerial vehicle (uav)
digital elevation model (dem)
url http://dx.doi.org/10.1080/19475705.2020.1870168
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AT yueqinzhu geomorphicanalysisofxiadianburiedfaultzoneineasternbeijingplainbasedonspotimageandunmannedaerialvehicleuavdata
AT junshen geomorphicanalysisofxiadianburiedfaultzoneineasternbeijingplainbasedonspotimageandunmannedaerialvehicleuavdata
AT shunbaoliao geomorphicanalysisofxiadianburiedfaultzoneineasternbeijingplainbasedonspotimageandunmannedaerialvehicleuavdata
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